A software-based sensor for combined sewer overflows

2012 ◽  
Vol 66 (7) ◽  
pp. 1475-1482 ◽  
Author(s):  
G. Leonhardt ◽  
S. Fach ◽  
C. Engelhard ◽  
H. Kinzel ◽  
W. Rauch
Keyword(s):  
Water Level ◽  
Simulation Models ◽  
Rainfall Runoff ◽  
Combined Sewer Overflows ◽  
Quality Model ◽  
Level Data ◽  
Water Level Data ◽  
Combined Sewer ◽  
Rainfall Runoff Model ◽  
Runoff Model

A new methodology for online estimation of excess flow from combined sewer overflow (CSO) structures based on simulation models is presented. If sufficient flow and water level data from the sewer system is available, no rainfall data are needed to run the model. An inverse rainfall-runoff model was developed to simulate net rainfall based on flow and water level data. Excess flow at all CSO structures in a catchment can then be simulated with a rainfall-runoff model. The method is applied to a case study and results show that the inverse rainfall-runoff model can be used instead of missing rain gauges. Online operation is ensured by software providing an interface to the SCADA-system of the operator and controlling the model. A water quality model could be included to simulate also pollutant concentrations in the excess flow.

scholarly journals PARAMETER IDENTIFICATION OF RUNOFF MODEL USING RAINFALL AND WATER-LEVEL DATA

2006 ◽  
Vol 50 ◽  
pp. 355-360 ◽  
Author(s):  
Takao TAMURA ◽  
Michio HASHINO ◽  
Daiki TACHIBANA
Keyword(s):  
Parameter Identification ◽  
Water Level ◽  
Level Data ◽  
Water Level Data ◽  
Runoff Model

scholarly journals Enhancing Automated Water Level Control at Navigable Waterways by High-Resolution Weather Predictions

10.29007/tfbm ◽  
2018 ◽  
Author(s):  
Julia Kasper ◽  
Georg Pranner ◽  
Franz Simons ◽  
Michael Denhard ◽  
Carsten Thorenz
Keyword(s):  
High Resolution ◽  
Water Level ◽  
Extreme Weather Events ◽  
Rainfall Runoff ◽  
Level Control ◽  
Weather Events ◽  
Rainfall Runoff Model ◽  
Feed Forward Controller ◽  
Runoff Model ◽  
The Ideal

Heavy rainfall can cause large variations in the water level of navigable waterways when a lot of urban runoff is generated on sealed surfaces and discharged into the river. Due to climate change, extreme weather events will increase in intensity and frequency demanding a better automated water level control at impounded waterways. High- resolution forecasts of catchment rainfall are intended to serve as input to a rainfall- runoff model. Based on the resulting discharge forecasts, a model predictive feed forward controller calculates the ideal water level and discharge across the barrage. The control system is completed by a PI control loop. In this way water level deviations and discharge peaks resulting from stormwater overflow events can be reduced, which enhances the safety of shipping. Regarding the uncertainties of weather predictions, the consequences of an underestimated or overestimated overflow discharge are investigated.

Causal Stochastic Simulation of Dissolved Oxygen Depletion in Rivers Receiving Combined Sewer Overflows

1994 ◽  
Vol 29 (1-2) ◽  
pp. 191-198 ◽  
Author(s):  
K. Schaarup-Jensen ◽  
T. Hvitved-Jacobsen
Keyword(s):  
Dissolved Oxygen ◽  
Extreme Event ◽  
Oxygen Depletion ◽  
Model Parameters ◽  
Combined Sewer Overflows ◽  
Quality Model ◽  
Combined Sewer ◽  
Model Mouse ◽  
Sewer Overflows ◽  
Runoff Model

A method for stochastic analysis of the effect of combined sewer overflows on the dissolved oxygen concentration in receiving rivers is developed. The method is based on repeated operation of the water quality model MOUSE-DOSMO. Each operation of this model covers a series of overflow events calculated by the MOUSE-SAMBA runoff model based on a historical rainfall record. For each event selected input data and model parameters in both models are drawn from fundamental statistical distributions by a simple Monte Carlo method. These data and parameters vary from event to event in each series. Each operation of the MOUSE-DOSMO model results in an extreme event statistics on dissolved oxygen minimum values -while repeated operation of the model yields extreme event percentiles by means of which a probability-based assessment of the model result may be performed.

scholarly journals Application of Conceptual Rainfall-Runoff Model METQ for Simulation of Daily Runoff and Water Level: The case of the Lake Burtnieks Watershed

2008 ◽  
Vol 62 (1-2) ◽  
pp. 47-54
Author(s):  
Elga Apsīte ◽  
Ansis Zīverts ◽  
Anda Bakute
Keyword(s):  
Water Level ◽  
Correlation Coefficient ◽  
Model Calibration ◽  
Performance Model ◽  
Model Structure ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Parameter Values ◽  
Runoff Model ◽  
Gauging Station

Application of Conceptual Rainfall-Runoff Model METQ for Simulation of Daily Runoff and Water Level: The case of the Lake Burtnieks Watershed In this study a conceptual rainfall-runoff METQ model—the latest version METQ2007BDOPT—was applied to simulate the daily runoff and water level of the Lake Burtnieks watershed from 1990 to 1999. The model structure and parameters were basically the same as in the METQ98, with some additional improvements and semi-automatical calibration performance. Model calibration was done for four rivers and one lake gauging station. The results of calibration showed a good correlation between the measured and simulated daily discharges. The Nash-Sutcliffe efficiency R2 varied from 0.90 to 0.58 and correlation coefficient r from 0.95 to 0.83. The highest values of R2 = 0.90 and r = 0.95 were obtained for the River Salaca and the lowest R2 = 0.53 and r = 0.83 for Lake Burtnieks. We observed some relationships between the model parameter values and physiographic characteristic of the sub-catchments.

Hydrologic-hydraulic coupling for flash flood real-time simulation: Application to the October 2015 French Riviera floods

2020 ◽  
Author(s):  
Maryse Charpentier-Noyer ◽  
François Bourgin ◽  
Geoffroy Kirstetter ◽  
Olivier Delestre ◽  
Pierre Brigode
Keyword(s):  
Water Level ◽  
Real Time ◽  
Flash Floods ◽  
Rainfall Runoff ◽  
Calculation Time ◽  
Time Simulation ◽  
Hydraulic Coupling ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
French Riviera

<p>The vulnerability of the French Riviera to hydro meteorological hazards has been dramatically illustrated by the flash floods of October 3, 2015: 20 people were killed and the cost of the direct damages were higher than 600 million euros. Due to their fast dynamics, flash floods are difficult to predict and leave little time for forecasting. In this context, it is needed to improve real-time simulations to enable a short-range anticipation of the consequences of these phenomena. The main goal of this work was to test a hydrologic-hydraulic coupling in order to assess whether this coupling can be used for real-time forecasting purposes. The coupling is composed for the hydrological part of the event-based spatially distributed rainfall-runoff model Cinecar and for the hydraulic part of the Basilisk software, which is based on 2D hydraulic modelling (finite volume methods for shallow water equations) with adaptive grid refinement. The main interest of this coupling method is the compromise obtained between calculation time and precision. The rainfall-runoff model is run on the upstream part of the domain and feeds the hydraulic model applied in the downstream part. The rainfall-runoff model makes it possible to estimate very quickly the streamflow temporal evolution, while the hydraulic model, although much slower when applied at high spatial resolution (up to 4m), makes it possible to have water level and velocity at any point of the downstream area. The application of this coupling approach is presented for three basins severely affected by the October 2015 flash floods: the Brague (68 km²), the Frayère (22 km²) and the Riou de l’Argentière (48 km²) catchments. The results obtained for the three basins are compared with information gathered from post-event surveys, particularly the high water level marks. A particular attention is also put on computation times in order to evaluate the possibilities of real-time simulation. The results show promising performances both in terms of calculation time but also in terms of accuracy of the simulated flood areas and water levels.</p>

scholarly journals Decomposition of Water Level Time Series of a Tidal River into Tide, Wave and Rainfall-Runoff Components

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1568 ◽  
Author(s):  
Myungjin Lee ◽  
Younghoon You ◽  
Soojun Kim ◽  
Kyung Kim ◽  
Hung Kim
Keyword(s):  
Time Series ◽  
Water Level ◽  
Complex Structure ◽  
Tidal River ◽  
Rainfall Runoff ◽  
Noise Component ◽  
Pass Filter ◽  
Level Data ◽  
Rainfall Runoff Model ◽  
Main Components

The water-level time series of a tidal river is influenced by various factors and has a complex structure, which limits its use as hydrological forecast data. This study proposes a methodology for decomposing the water-level time series of a tidal river into various components that influence the water level. To this end, the tide, wave, rainfall-induced runoff and noise components were selected as the main components that affect the water-level time series. The tide component and the wave component were first separated through wavelet analysis and curve fitting and then they were removed from the water-level data. A high-pass filter was then applied to the resulting time series to separate the rainfall-induced runoff component and the noise component. These methods made it possible to determine the rate of influence that each component has on the water level of a tidal river. The results could be used as a basis for calibrating a rainfall-runoff model and issuing flood forecasts and warnings for a tidal river.

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